Data & Research Scientist – Cadillac Global Strategy & Operations #1009803

Key Responsibilities/Accountabilities

Work as an integral member within the Cadillac Global Strategy & Operations Team, focused on innovation and analytics providing a key data science component to support the development and execution of global strategy, research, innovation, and operations projects.
Leverage strong business acumen and storytelling abilities to translate complex data analyses into clear, actionable insights for diverse stakeholders.
Provide strong connection and support to strategy and operations managers by developing analytical solutions to address and improve KPI’s and business results.
Pursues problem identification and impact across large vehicle populations, leveraging data mining, predictive modeling, simulation, and visualization techniques to further enhance insight and internal performance optimization.

Requirements

Must have 8+ years of actual experience
8+ years of experience using data to solve problems, hypothesis testing, and create visualizations and storytelling to address business problems
8+ years of experience in data architecture and data base management
8+ years of professional development experience
Solid experience with Big Data technologies in Data Bricks platform using Python/R
R or Python experience is mandatory
Master’s degree in STEM fields required.
Ph. D in STEM fields preferred.
Research/Data Science/Analytics Background
Sharp Technical/Statistical/Math skills
Strong data storytelling, communication and presentation skills
Displays curiosity and creativity
Ability to liaise with business leads and create tangible next steps from data to create better business outcomes
Auto industry experience preferred, not mandatory

Subject Matter Expertise in Research, Statistics, and Data Analytics:

Serve as an expert in predictive and prescriptive analytics.
Ensure research aligns with industry best practices and contributes to the field’s body of knowledge.

Data storytelling

Use a structured approach for communicating data insights, with key elements: data, visuals, and narrative to explain, enlighten or engage the audience.
The data story is used to drive and influence change.

Conduct Advanced Data Analysis and Automation:

o Perform in-depth analysis and design search patterns.

o Develop automation tools for data mining and reduction.

Mentorship and Skill Development:

o Mentor junior researchers and data scientists to enhance their analytical skills.

o Foster a collaborative learning environment within the research and strategy team.

Stay Informed on Technological Advancements:

Continuously update knowledge on the latest software and hardware innovations and ideate on how to apply.
Identify and implement cutting-edge solutions to meet research and strategy objectives.

Collaborative Research and Statistical Application:

Establish strong working relationships with interdisciplinary teams including Enterprise Data and Analytics and IT.
Review research and strategy project requirements and apply appropriate statistical techniques to data.

Data Collection and Refinement:

Develop and Communicate Best Practices:

Support Complex and Real-Time Data Processing:

Develop analytics to support complex event processing and real-time data analysis in big data contexts.